Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multiple Allele Traits01:49

Multiple Allele Traits

36.7K
The Concept of Multiple Allelism
36.7K
Polygenic Traits01:18

Polygenic Traits

67.6K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
67.6K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.9K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
14.9K
Multiple Regression01:25

Multiple Regression

3.4K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.4K
Genetic Variation01:25

Genetic Variation

1.0K
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
1.0K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.3K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Biomarker analysis from a Phase 1/1b study of tusamitamab ravtansine in patients with advanced non-small cell lung cancer.

Translational oncology·2025
Same author

Variable Selection in High-Dimensional Logistic Regression Models Using a Whitening Approach.

IEEE transactions on computational biology and bioinformatics·2025
Same author

Isatuximab Monotherapy for Desensitization in Highly Sensitized Patients Awaiting Kidney Transplant.

Journal of the American Society of Nephrology : JASN·2023
Same author

The search for therapeutic targets in lung cancer: Preclinical and human studies of carcinoembryonic antigen-related cell adhesion molecule 5 expression and its associated molecular landscape.

Lung cancer (Amsterdam, Netherlands)·2023
Same author

AMEERA-3: Randomized Phase II Study of Amcenestrant (Oral Selective Estrogen Receptor Degrader) Versus Standard Endocrine Monotherapy in Estrogen Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Advanced Breast Cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2023
Same author

Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso.

BMC bioinformatics·2023

Related Experiment Video

Updated: Nov 16, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.4K

A variable selection approach for highly correlated predictors in high-dimensional genomic data.

Wencan Zhu1,2, Céline Lévy-Leduc1, Nils Ternès2

  • 1UMR MIA-Paris, AgroParisTech, INRAE - Université Paris-Saclay, Paris 75005, France.

Bioinformatics (Oxford, England)
|February 22, 2021
PubMed
Summary
This summary is machine-generated.

WLasso is a new variable selection method that accounts for biomarker correlations in genomic studies. It outperforms existing approaches in highly correlated, sparse, high-dimensional settings.

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.8K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.1K

Related Experiment Videos

Last Updated: Nov 16, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.4K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.8K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.1K

Area of Science:

  • Genomics
  • Biomedical Research
  • Statistical Genetics

Background:

  • Identifying biomarkers linked to specific variables is crucial in genomic studies.
  • High-dimensional linear models are commonly used for variable selection.
  • Existing regularized methods struggle with highly correlated predictors.

Purpose of the Study:

  • To introduce WLasso, a novel variable selection approach designed for correlated predictors in high-dimensional models.
  • To evaluate WLasso's performance against existing methods in various scenarios.

Main Methods:

  • WLasso reformulates the high-dimensional linear model to decorrelate biomarkers.
  • The generalized Lasso criterion is applied to the reformulated model.
  • The method is implemented in the WLasso R package available on CRAN.

Main Results:

  • WLasso demonstrates superior performance compared to alternative approaches when biomarkers are highly correlated.
  • The method excels in sparse, high-dimensional settings.
  • WLasso was successfully applied to breast cancer gene expression data.

Conclusions:

  • WLasso offers an effective solution for variable selection in the presence of highly correlated biomarkers.
  • The approach enhances biomarker identification in genomic and biomedical research.
  • The WLasso R package provides accessible implementation for researchers.